DSP Academy

Digital Signal Processing · free course

Learn DSP the way engineers actually use it

Sampling, Fourier transforms, filters and embedded DSP: intuition first, math second, and Python, MATLAB/Octave and C code that has been run before it was published.

Start the beginner pathInteractive tools
  • 12 lessons
  • 5 interactive tools
  • 3 learning paths

Learning paths

Pick your route through DSP

All paths →
Path 01BeginnerSignals, sampling, aliasing and the Fourier family (series, DFT, FFT, STFT). Start here.6 lessonsOpen path →Path 02IntermediateLTI systems, impulse response, convolution, FIR and IIR filters, the z-transform and adaptive filters.4 lessonsOpen path →Path 03Embedded DSPRunning DSP on Arm Cortex-M with CMSIS-DSP: FFTs, FIR filters and fixed-point (Q15/Q31) arithmetic.2 lessonsOpen path →

Interactive tools

See the math move

All tools →
Aliasing & Nyquist demoSee a tone, its samples and the alias they create.FFT visualizerMix tones, pick a window, read the spectrum in dB.dB & sampling calculatorsdB ↔ ratio, ADC bits → SNR, bin spacing, frame length.Interactive unit circlee^{jθ}, cos and sin, and radians per sample.FIR filter designerWindowed-sinc low/high/band-pass with response plot.

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Why trust these lessons

Accurate, tested, corrected in the open

// tested code

Every code example is run before it is published, and the real output and plots are shown.

// cited sources

Lessons reference Oppenheim & Schafer, Lyons and Smith, plus official documentation such as CMSIS-DSP and SciPy.

// open corrections

Found an error? We fix it and add a dated correction note. Read the policy.

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